AZoRobotics

Machine Learning Predicts Toxic Metal Levels in Marine Systems

Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...
GitHub

Partial reference implementation of SIFT-IDS: classifier-consistent recursive feature selection for compact CAN intrusion detection (CICIoV2024).

train a small FastKAN classifier on tabular data, and apply an embedded feature-selection loss based on first-layer parameter groups. These files are released to help readers understand and reuse the ...
GitHub

Expand Selection Obsidian Plugin

An Obsidian plugin to expand your editor selection to lines, sections (recursive), or the entire note. This plugin is primarily designed for mobile convenience. "Expand to Section" is useful on ...
IEEE

Feature Selection for Battery Lifetime Prediction Using Explainable Machine Learning

Abstract: Accurate battery lifetime estimation is crucial for health management and system safety. Data-driven research yields extensive feature sets, yet optimal feature selection is often impeded by ...
Frontiers

An explainable machine learning model for predicting chronic coronary disease and identifying valuable text features

Chronic Coronary Disease (CCD) is a leading global cause of morbidity and mortality. Existing Pre-test Probability (PTP) models mainly rely on in-hospital data and clinician judgment. This study aims ...
IEEE

Recursive Statistical Invariants Elimination for High-Risk Disease Diagnosis with Feature Selection

Abstract: Feature selection for high-risk disease diagnosis is critical for accurate risk assessment, yet existing methods fail to incorporate medical domain knowledge, potentially leading to ...
STAT

Recursion CEO: Biotech’s rainy season is not over — but we must race ahead

This week, I had to make one of the most difficult decisions of my career: saying goodbye to 20% of the team at Recursion. The process was extraordinarily painful, and the costs were heartbreakingly ...